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29,287 Article Results

Clustering in Aggregated User Profiles Across Multiple Social Networks

10.11591/ijece.v7i6.pp3692-3699
Charu Virmani , Anuradha Pillai , Dimple Juneja
A social network is indeed an abstraction of related groups interacting amongst themselves to develop relationships. However, toanalyze any relationships and psychology behind it, clustering plays a vital role. Clustering enhances the predictability and discoveryof like mindedness amongst users. This article’s goal exploits the technique of Ensemble K-means clusters to extract the entities and their corresponding interestsas per the skills and location by aggregating user profiles across the multiple online social networks. The proposed ensemble clustering utilizes known K-means algorithm to improve results for the aggregated user profiles across multiple social networks. The approach produces an ensemble similarity measure and provides 70% better results than taking a fixed value of K or guessing a value of K while not altering the clustering method. This paper states that good ensembles clusters can be spawned to envisage the discoverability of a user for a particular interest.
Volume: 7
Issue: 6
Page: 3692-3699
Publish at: 2017-12-01

Customers’ Perception Towards Services of Telecommunications Operators

10.11591/ijict.v6i3.pp146-154
Driss Ait Omar , Mohamed Baslam , Mourad Nachaoui , And Mohamed Fakir
Currently the operators in the telecommunications market present offers of subscription to the consumers,and given that competition is strong in this area, most of these advertising offers are prepared to attract and / or keep customers.For this reason, customers face problems in choosing operators that meet their needs in terms of price, quality of service (QoS), etc..., while taking into account the margin between what is advertising and what is real. Therefore, we are led to solve a problem of decision support. Mathematical modeling of this problem led to the solution of an inverse problem. Specifi-cally, the inverse problem is to find the real Quality of Service (QoS) function knowing the theoretical QoS. To solve this problem we have reformulated in an optimization problem of minimizing the difference between the real quality of service (QoS) and theoretical (QoS). This model will help customers who seek to know the degree of sincerity of Their operators, as well as it is an opportunity for operators who want to maintain their resources so that they gain the trust of customers. The resulting optimization problem is solved using evolutionary algorithms. The numerical results showed the reliability and credibility of our inverse model and the performance and effectiveness of our approach.
Volume: 6
Issue: 3
Page: 146-154
Publish at: 2017-12-01

An Agent Architecture for Qos-Based Web Service Composition Using the Skyline Algorithm

10.11591/ijict.v6i3.pp179-188
El-Alami Ayoub , Hair Abdellatif
Web service composition is a concept based on the built of an abstract process, by combining multiple existing class instances, where during the execution, each service class is replaced by a concrete service, selected from several web service candidates. This approach has as an advantage generating flexible and low coupling applications, based on its conception on many elementary modules available on the web. The process of service selection during the composition is based on several axes, one of these axes is the QoS-based web service selection. The Qos or Quality of Service represent a set of parameters that characterize the non-functional web service aspect (execution time, cost, etc...). The composition of web services based on Qos, is the process which allows the selection of the web services that fulfill the user need, based on its qualities. Selected services should optimize the global QoS of the composed process, while satisfying all the constraints specified by the client in all QoS parameters. In this paper, we propose an approach based on the concept of agent system and Skyline approach to effectively select services for composition, and reducing the number of candidate services to be generated and considered in treatment. To evaluate our approach experimentally, we use a several random datasets of services with random values of qualities.
Volume: 6
Issue: 3
Page: 179-188
Publish at: 2017-12-01

SCNN Based Electrical Characteristics of Solar Photovoltaic Cell Model

10.11591/ijece.v7i6.pp3198-3206
Bambang Purwahyudi , Kuspijani Kuspijani , Ahmadi Ahmadi
Solar photovoltaic (PV) cell is one of the renewable energy sources and a main component of PV power systems. The design of PV power systems requires accurately its electrical output characteristics. The electrical characteristics of solar PV cell consist of I-V and P-V characteristics. They depend on the parameters of PV cell such as short circuit current, open circuit voltage and maximum power. Solar PV cell model can be described through an equivalent circuit including a current source, a diode, a series resistor and a shunt resistor. In this paper, the development solar PV cell model is built by using self constructing neural network (SCNN) methods. This SCNN technique is used to improve the accuracy of the electrical characteristic of solar PV cell model. SCNN solar PV cell model have three inputs and two outputs. They are respectively solar radiation, temperature, series resistance, current and power. The effectiveness of SCNN technique is verified using simulation results based on different physical and environmental conditions. Simulations are conducted by the change of the solar irradiation, temperature and series resistance. Simulation results show SCNN model can yield the I-V and P-V characteristics according to the characteristics of solar PV cell.
Volume: 7
Issue: 6
Page: 3198-3206
Publish at: 2017-12-01

Fuzzy Region Merging using Fuzzy Similarity Measurement on Image Segmentation

10.11591/ijece.v7i6.pp3402-3410
Wawan Gunawan , Agus Zainal Arifin , Rarasmaya Indraswari , Dini Adni Navastara
Some image’s regions have unbalance information, such as blurred contour, shade, and uneven brightness. Those regions are called as ambiguous regions. Ambiguous region cause problem during region merging process in interactive image segmentation because that region has double information, both as object and background. We proposed a new region merging strategy using fuzzy similarity measurement for image segmentation. The proposed method has four steps; the first step is initial segmentation using mean-shift algorithm. The second step is giving markers manually to indicate the object and background region. The third step is determining the fuzzy region or ambiguous region in the images. The last step is fuzzy region merging using fuzzy similarity measurement. The experimental results demonstrated that the proposed method is able to segment natural images and dental panoramic images successfully with the average value of misclassification error (ME) 1.96% and 5.47%, respectively.
Volume: 7
Issue: 6
Page: 3402-3410
Publish at: 2017-12-01

Neuroendoscopy Adapter Module Development for Better Brain Tumor Image Visualization

10.11591/ijece.v7i6.pp3643-3654
Sunil L. Bangare , G. Pradeepini , Shrishailappa Tatyasaheb Patil
The issue of brain magnetic resonance image exploration together with classification receives a significant awareness in recent years. Indeed, various computer-aided-diagnosis solutions were suggested to support radiologist in decision-making. In this circumstance, adequate image classification is extremely required as it is the most common critical brain tumors which often develop from subdural hematoma cells, which might be common type in adults. In healthcare milieu, brain MRIs are intended for identification of tumor. In this regard, various computerized diagnosis systems were suggested to help medical professionals in clinical decision-making. As per recent problems, Neuroendoscopy is the gold standard intended for discovering brain tumors; nevertheless, typical Neuroendoscopy can certainly overlook ripped growths. Neuroendoscopy is a minimally-invasive surgical procedure in which the neurosurgeon removes the tumor through small holes in the skull or through the mouth or nose. Neuroendoscopy enables neurosurgeons to access areas of the brain that cannot be reached with traditional surgery to remove the tumor without cutting or harming other parts of the skull. We focused on finding out whether or not visual images of tumor ripped lesions ended up being much better by auto fluorescence image resolution as well as narrow-band image resolution graphic evaluation jointly with the latest neuroendoscopy technique. Also, within the last several years, pathology labs began to proceed in the direction of an entirely digital workflow, using the electronic slides currently being the key element of this technique. Besides lots of benefits regarding storage as well as exploring capabilities with the image information, among the benefits of electronic slides is that they can help the application of image analysis approaches which seek to develop quantitative attributes to assist pathologists in their work. However, systems also have some difficulties in execution and handling. Hence, such conventional method needs automation. We developed and employed to look for the targeted importance along with uncovering the best-focused graphic position by way of aliasing search method incorporated with new Neuroendoscopy Adapter Module (NAM) technique.
Volume: 7
Issue: 6
Page: 3643-3654
Publish at: 2017-12-01

High Torque Flux Switching Permanent Magnet Machine in Segmented Outer Rotor using Appropriate Split Ratio for Electric Scooter Propulsion

10.11591/ijpeds.v8.i4.pp1642-1649
Enwelum Mbadiwe I , Erwan Sulaiman , Ahmad Md Zarafi , Siti Khalidah Rahimi
Recently, permanent magnet synchronous machine (PMSM) having the diameter of 11inches was successfully developed and installed in electric scooter vehicle (ESV) for propulsion. It consists of segmented stators of 24 armature slots and 100 pieces of permanent magnet of 2 kg weight mounted on rotating rotor. Upon the huge amount of materials and permanent magnet used, PMSM produced 110Nm only. Looking at the size, this torque is low and could not sustain acceleration for long distance travels. To overcome the challenge of low torque, this paper presents a new machine type, flux switching motor (FSM) with 1 kg weight of permanent magnet flux source employing segmented outer rotor.  Six ranges of split ratio of 0.80-0.85 for outer rotor 24slot-14pole FSPM motor configurations were designed and compared. The 2D-FEA by JMAG software version 14 is used to examine its performance in term of flux linkage, cogging torque, back-emf and average torque which the structure with split ratio of 0.85 took lead by securing highest torque profile of 209Nm. It also achieved low cogging torque to operate in safe region. In conclusion, appropriate split ratio significantly enhances high torque capability of permanent magnet flux switching motor for electric scooter propulsion.
Volume: 8
Issue: 4
Page: 1642-1649
Publish at: 2017-12-01

CNR and BER Ranges for the DVB-T2 Reception-Success

10.11591/ijece.v7i6.pp3727-3734
Budi Setiyanto , Risanuri Hidayat , I Wayan Mustika , Sunarno Sunarno
DVB-T2 (Digital Video Broadcasting Terrestrial Second Generation) reception requires a sufficient quality of the received signal. CNR (carrier-to-noise ratio) and BER (bit-error-rate) are two of quantities describing the quality. This paper presents the range of each quantity providing a successful reception based on real data obtained by field-measurements. This data was collected from MO (mobile-outdoor) and SI (stationary-indoor) receiving-systems capturing signal sent by some on-air trial transmitters broadcasting services focused on the fixed-receivers. The result indicated that the successful and failed receptions were split into two quite separated (concentrated) ranges of post-decoded BER and therefore a boundary distinguishing them could be prominently defined. In contrast, they were spread in a wide common range of CNR and pre-decoded BER. Furthermore, the boundary that corresponded to this last quantity was ambiguous. In the case of MO reception as numerical examples, the two split ranges of post-decoded BER were less than about 10-5 and more than about 2.7 × 10-4 for the successful and failed receptions, respectively, whereas CNR as high as about 14 dB could be viewed as a soft boundary distinguishing these both reception-success conditions.
Volume: 7
Issue: 6
Page: 3727-3734
Publish at: 2017-12-01

DTC-SVM Control for Permanent Magnet Synchronous Generator based Variable Speed Wind Turbine

10.11591/ijpeds.v8.i4.pp1732-1743
Youness El Mourabit , Aziz Derouich , Abdelaziz El Ghzizal , Najib El Ouanjli , Othmane Zamzoum
In this paper, we are interested in improving the production efficiency for electric energy extracted from a wind turbine, based on a permanent magnet synchronous generator (PMSG) that we want to improve the performance by means of direct torque control with space vector modulation (DTC-SVM). The choice of this control comes from the deficiencies inherent to the conventional DTC, which includes variable switching frequency, torque ripple and implementation complexity. First we focuse on the wind energy conversion system (WECS) modeling using the PMSG machine, as well as the detailed study for the control DTC-SVM operating principle. Then, system performance is tested and compared by simulation in the MATLAB/Simulink in terms of follow instructions, robustness to the variations of the external system elements, and effectiveness of the expected method.
Volume: 8
Issue: 4
Page: 1732-1743
Publish at: 2017-12-01

Kalman Filter Algorithm Based Optimal Power Dispatch In Multinode System

10.11591/ijpeds.v8.i4.pp1863-1867
M. Vijay Albert William , M. Rajeev Kumar , K. Bhaskar , K. Durairaj
Deregulation can be characterized as the way toward evacuating the limitations and controls to accomplish focused discount costs without trading off sufficiency, framework dependability and security. In deregulation prepare there exist no. of purchasers and merchants. Where the offering and purchasing of force happen through various components is called control advertise. The utilization of the hereditary calculation to take care of the ideal power dispatch issue for a multi-hub sell off the market is proposed. The ideal power dispatch issue is a non-straight streamlining issue with a few requirements. The target of the proposed hereditary calculation is to amplify the aggregate member's advantage at all hubs in the framework. The proposed calculation is easy to execute and can undoubtedly consolidate extra requirements. The calculation was tried on a 17-hub, 26-line framework. The outcomes have demonstrated that the proposed calculation yields great outcomes that are steady with the run of the mill showcase conduct.Introduction in 1988 all electric power utilities all through the world worked with a hierarchical model in which one is controlling expert the utility worked the era, Transmission, and Distribution Systems situated in a fixed geographic region. Financial specialists for quite a while had addressed whether this syndication association was productive.
Volume: 8
Issue: 4
Page: 1863-1867
Publish at: 2017-12-01

Variable Body Biasing (VBB) based VLSI Design Approach to Reduce Static Power

10.11591/ijece.v7i6.pp3010-3019
Woo Wei Kai , Nabihah binti Ahmad , Mohamad Hairol bin Jabbar
The static power consumption is an important parameter concern in IC design due to t for a higher integration numbers of transistor to achieve greater performance in a single chip. Leakage current is the main issues for static power dissipation in standby mode as the size of transistor been scale. Therefore, the subthreshold leakage current rises due to threshold voltage scaling and gate leakage current increases due to scale down of oxide thickness. In this paper, a Variable Body Biasing (VBB) technique was applied to reduce static power consumption in VLSI design. The VBB technique used a DC bias at body terminal to control the threshold voltage efficiently. The Synopsys Custom Designer EDA tools in 90nm MOSFET technology was used to design a 1-bit full adder with VBB technique in full custom methodology. The simulation of 1-bit full adder was carried out with operation voltage   supply was compared in conventional technique and VBB technique. The results achieved the reduction in term of peak power,   and average power,   in static CMOS 1-bit full adder compared with conventional bias and VBB technique.
Volume: 7
Issue: 6
Page: 3010-3019
Publish at: 2017-12-01

Predictive Control of AC/AC Matrix Converter

10.11591/ijpeds.v8.i4.pp1932-1942
Siti Hajar Yusoff , Nur Shahida Midi , Sheroz Khan , Majdee Tohtayong
This work investigates the usage of Model Predictive Control (MPC) for a three phase conventional matrix converter with low pass filter at the input and output side. The conventional matrix converter has 3 input and 3 output which gives 27 switching state. From this design, a MPC is incorporate to control the output voltage and the input currents for all the phases. The design of the proposed controller is based on the input current controller and output voltage controller with load observer.  The proposed MPC using cost function will select the minimized switching state to be applied to next switching. This gives a sinusoidal output voltages and input currents. A simulation and experimental studies are presented to validate the proposed control scheme.
Volume: 8
Issue: 4
Page: 1932-1942
Publish at: 2017-12-01

The Effects of Nano Fillers on Space Charge Distribution in Cross-Linked Polyethylene

10.11591/ijece.v7i6.pp3147-3152
A. N. Ramani , A. M. Ariffin , Gobinath Vijian , Ahmad Basri Abd Ghani
The performance of polymeric insulation will be distorted by the accumulation of space charge. This will lead to local electric field enhancement within the insulation material that can cause degradation and electrical breakdown. The introduction of nanofillers in the insulation material is expected to reduce the space charge effect. However, there is a need to analyze potential nanofillers to determine the best option. Therefore, the objective of this research work is to examine two types of nanofillers for Cross-Linked Polyethylene (XLPE); Zinc Oxide (ZnO) and Acrylic (PA40). The effects of these nanofillers were measured using the Pulsed-Electro Acoustic (PEA) method. The development of space charge is observed at three different DC voltage levels in room temperature. The results show that hetero charge distribution is dominant in pure XLPE materials. The use of both nanofiller types have significant effect in decreasing the space charge accumulation. With nanofillers, the charge profile changed to homo-charge distribution, suppressing the space charge formation. Comparisonbetween both the nanofillers show that PA40 has better suppression performance than ZnO.
Volume: 7
Issue: 6
Page: 3147-3152
Publish at: 2017-12-01

A Novel Approach to Study the Effects of Anesthesia on Respiratory Signals by using the EEG Signals

10.11591/ijece.v7i6.pp3313-3317
Mohd Suhaib Kidwai , S. Hasan Saeed
General anesthesia plays a crucial role in many surgical procedures, and it therefore has an enormous impact on human health. There are no precise measures for maintaining the correct dose of anesthetic, and there is currently no fully reliable instrument to monitor depth of anesthesia. In this paper, a novel approach has been proposed for detecting the changes in synchronism of brain signals, taken from EEG machine. During the effect of anesthesia, there are certain changes in the EEG signals. Those signals show changes in their synchronism. This phenomenon of synchronism can be utilized to study the effect of anesthesia on respiratory parameters like respiration rate etc, and hence the quantity of anesthesia can be regulated, and if any problem occurs in breathing during the effect of anesthesia on patient, that can also be monitored.
Volume: 7
Issue: 6
Page: 3313-3317
Publish at: 2017-12-01

Control of Chaos in a Current Mode Controlled Buck Boost Converter Using Weak Periodic Perturbation Method

10.11591/ijpeds.v8.i4.pp1467-1480
P. Sriramalakshmi , A. Kavitha , P. Sanjeevikumar , Tole Sutikno , Pandav Kiran Maroti , Vigna K. Ramachandaramurthy
This paper analyses the nonlinear phenomena in current mode controlled buck-boost converter. The system undergoes various operating regions whenever there is a change in non linear elements presented in the system as well as in the loads. In this work, inductor current is considered as the reference for analysis.The results show that the converter enters into period-1, periodic doubling and chaotic regions as per the parameter (IL) variations.  The proposed control strategy, weak periodic perturbation (WPP) method tries to stabilize the system from the chaotic behavior.The buck boost converter along with the control system is simulated using MATLAB/SIMULINK software tool and the results are presented.The hardware implementation of the system is done and the results are verified with  the simulation results. It shows that the WPP can transform the system behaviour from the chaotic region to the periodic one. 
Volume: 8
Issue: 4
Page: 1467-1480
Publish at: 2017-12-01
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